Tagging MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GROQ_API_KEY | No | API key for Groq provider | |
| GEMINI_API_KEY | No | API key for Gemini provider | |
| OPENAI_API_KEY | No | API key for OpenAI provider | |
| ANTHROPIC_API_KEY | No | API key for Claude (Anthropic) provider |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| tag_csvA | Tag all rows in a CSV file based on a provided taxonomy using parallel LLM inference. |
| preview_csvA | Preview the first few rows of a CSV file to understand its structure. |
| tag_csv_advancedA | Tag CSV rows using a custom taxonomy with multiple fields and detailed value definitions. This is the advanced version that accepts a full taxonomy dictionary for multi-dimensional classification. |
| get_tagging_infoA | Get information about the tagging MCP server and supported providers |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: get_tagging_info provides server info, preview_csv shows CSV structure, tag_csv performs simple tagging, and tag_csv_advanced handles complex multi-dimensional tagging. No overlap.
All tools follow a consistent verb_noun pattern (get_tagging_info, preview_csv, tag_csv, tag_csv_advanced) with a clear advanced variant suffix, making it easy to understand the action and target.
With 4 tools, the server is well-scoped for its purpose of CSV tagging: informational, preview, basic tagging, and advanced tagging. No unnecessary tools and the count feels appropriate.
The core workflow (preview CSV, tag with taxonomy) is covered, including advanced multi-dimensional tagging. Minor gaps: no tool to list available taxonomies or to retrieve/modify past tagging results, but the server's primary function is adequately supported.